Cy Young Award Projections


About the Cy Young Award Projections:

These Cy Young Award Projections utilize a simple model created by Tangotiger. The original Cy Young Points model predicts the top two vote getters with high accuracy through 2020. The FIP Adjusted model may be a better predictor of more recent voting behavior. (The report is limited to pitchers with at least 50 projected IP.)

  • Cy Young Points (CYP): IP/2 - ER + SO/10 + W
  • FIP Adjusted Cy Young Points (FIP CYP): (IP/2 - ER) + (IP/2 - FIP Runs) + SO/10 + W
Data Export [Members Only]

American League

#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Tarik Skubal40.23230.0%3.1%2.212.471.31.518.127.3189.213928.8%5.1%2.752.905.25.371.6105.4
2Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1181.012930.3%8.8%2.782.934.85.268.6100.2
3Max Fried51.26022.6%5.3%1.052.911.32.230.539.6196.216722.5%6.3%2.753.434.04.872.696.1
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2175.014826.6%7.9%3.093.184.44.160.386.0
5Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0183.211924.9%5.1%3.193.184.13.956.483.3
6Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9171.211830.5%8.7%3.413.114.33.753.580.0
7Pablo López33.03228.5%3.8%2.182.111.20.915.224.0174.0121025.9%5.6%3.263.194.03.354.479.7
8Jacob deGrom38.02124.2%6.0%2.613.710.71.313.616.9152.010728.9%5.6%3.023.253.83.752.673.8
9Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4141.18728.8%5.5%3.063.073.23.047.069.4
10Carlos Rodón48.24330.3%10.6%2.963.600.91.118.022.9187.2131128.0%8.7%3.603.833.12.953.467.4
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Tarik Skubal40.23230.0%3.1%2.212.471.31.518.127.3189.213928.8%5.1%2.752.905.25.371.6105.4
2Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1181.012930.3%8.8%2.782.934.85.268.6100.2
3Max Fried51.26022.6%5.3%1.052.911.32.230.539.6196.216722.5%6.3%2.753.434.04.872.696.1
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2175.014826.6%7.9%3.093.184.44.160.386.0
5Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0183.211924.9%5.1%3.193.184.13.956.483.3
6Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9171.211830.5%8.7%3.413.114.33.753.580.0
7Pablo López33.03228.5%3.8%2.182.111.20.915.224.0174.0121025.9%5.6%3.263.194.03.354.479.7
8Jacob deGrom38.02124.2%6.0%2.613.710.71.313.616.9152.010728.9%5.6%3.023.253.83.752.673.8
9Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4141.18728.8%5.5%3.063.073.23.047.069.4
10Carlos Rodón48.24330.3%10.6%2.963.600.91.118.022.9187.2131128.0%8.7%3.603.833.12.953.467.4
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National League

#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9192.2131128.3%7.1%2.852.925.35.670.2104.0
2Logan Webb48.14228.7%6.7%2.611.861.81.519.833.9201.1141023.3%6.0%3.132.884.74.364.1100.2
3Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4205.014828.4%5.8%3.253.294.95.165.993.5
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3183.011930.2%6.3%3.302.994.44.158.389.0
5Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8168.013927.2%7.3%2.953.263.94.360.583.6
6Michael King44.24127.0%7.9%2.223.201.21.720.126.6183.213925.9%8.4%3.233.623.74.158.476.3
7MacKenzie Gore46.02336.4%7.0%3.332.761.31.214.823.7180.0101129.9%8.5%3.453.373.84.053.275.9
8Sonny Gray46.14125.3%5.9%3.503.600.80.813.918.5187.113825.3%6.6%3.463.473.63.654.275.6
9Freddy Peralta45.14226.5%8.3%2.183.481.01.920.525.6181.1121027.1%8.7%3.333.773.44.356.070.7
10Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.113827.6%8.0%3.373.583.33.653.270.3
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9192.2131128.3%7.1%2.852.925.35.670.2104.0
2Logan Webb48.14228.7%6.7%2.611.861.81.519.833.9201.1141023.3%6.0%3.132.884.74.364.1100.2
3Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4205.014828.4%5.8%3.253.294.95.165.993.5
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3183.011930.2%6.3%3.302.994.44.158.389.0
5Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8168.013927.2%7.3%2.953.263.94.360.583.6
6Michael King44.24127.0%7.9%2.223.201.21.720.126.6183.213925.9%8.4%3.233.623.74.158.476.3
7MacKenzie Gore46.02336.4%7.0%3.332.761.31.214.823.7180.0101129.9%8.5%3.453.373.84.053.275.9
8Sonny Gray46.14125.3%5.9%3.503.600.80.813.918.5187.113825.3%6.6%3.463.473.63.654.275.6
9Freddy Peralta45.14226.5%8.3%2.183.481.01.920.525.6181.1121027.1%8.7%3.333.773.44.356.070.7
10Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.113827.6%8.0%3.373.583.33.653.270.3
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